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        <h1>Hui Chong</h1>
        <p>Research Assistant of Bioinformatics<br>Huazhong University of Science and Technology</p>
        <!--<p>Research Affiliate<br><a href="http://legacy.iza.org/en/webcontent/personnel/photos/index_html?key=24155">Institute for the Study of Labor (IZA)</a></p>-->
        <h3><p class="view"><a href="index.html">Home</a></p></h3>
        <h3><p class="view"><a href="research.html">Research</a></p></h3>
        <h3><p class="view"><a href="research/Resume.pdf">Resume</a></p></h3>  
        <h3><p class="view"><a href="mooc.html">Mooc</a></p></h3>
        <h3><p class="view"><a href="https://www.cnblogs.com/AdeBC/", target="_blank">Blog</a></p></h3>
        <h3><p class="view"><a href="code.html">Code</a></p></h3> 
        <!--<h3><p class="view"><a href="https://AdeBC.github.io/teaching.html">Teaching</a></p></h3> -->
        <h3><p class="view"><a href="personal.html">Personal</a></p></h3>


    <p class="view"><b>Social</b><br>
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    <p><b>Contact:</b><br> Room 318, Building D, No. 309, Meijiabang<br> Road, Zhongshan Street, Songjiang<br> District, Shanghai, 201613.<br> [During the <a href="https://www.who.int/emergencies/diseases/novel-coronavirus-2019", target="_blank">COVID-19</a> Outbreak] </p>
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      <section>
  <h2><a id="Moocs" class="anchor" href="#Moocs" aria-hidden="true"><span class="octicon octicon-link"></span></a>Moocs</h2>
  All courses are hosted on <a href="https://www.coursera.org/">Coursera</a>, and Financial aid are available for application, so all resources can be obtained for free.
    <h3>Bioinformatics</h3>
        <ul>
          <li><a href="https://www.coursera.org/learn/sheng-wu-xin-xi-xue">
            Bioinformatics: Introduction and Methods</a>: 
            This is the first lesson I have taken in Bioinformatics, 
            even before the undergraduate professional course "Bioinformatics". 
            It helped me understand the past and present of bioinformatics, 
            the basic problems to be solved and the commonly used algorithms. 
            Then I decided to study bioinformatics more deeply 
            and use my technical knowledge to solve the complicated problems
            in the field of bioinformatics. <a href="https://www.coursera.org/account/accomplishments/records/PR26FDQDKQEV?utm_source=link&utm_medium=certificate&utm_content=cert_image&utm_campaign=sharing_cta&utm_product=course" target="_blank">View</a> my certificate<br>
            <table border="1">
              <tr><th>Information</th><th>Description</th></tr>
              <tr><td>Provider</td><td>Peking University</td></tr>
              <tr><td>Teacher</td><td>Professor <a href="https://www.coursera.org/instructor/gegao">Ge Gao</a> and Professor <a href="https://www.coursera.org/instructor/liping-wei">Wei Liping</a></td></tr>
              <tr><td>Contents</td><td>Needleman-Wunsch algorithm, Smith-Waterman algorithm, BLAST algorithm, 
                Gene Ontology and RNA-Seq analysis, etc.</td></tr>
              </table>
          <li><a href="https://www.coursera.org/learn/dna-analysis">Finding Hidden Messages in DNA (Bioinformatics I)</a> 
            This course gave me a deeper understanding of the biological problem of motif finding. 
            In this course, I learned and applied enumeration algorithm, 
            greedy algorithm and randomized algorithm successively to solve the motif finding problem. 
            I also adjusted the Gibbs sampler algorithm to speed up its convergence several times. 
            In this course, I also accumulated a lot of programming experience, 
            the code implementation of the above three algorithms has been hosted 
            <a href="https://github.com/AdeBC/Motif-finding">here</a>. 
            And I finally got full marks and honors in this course. <a href="https://www.coursera.org/account/accomplishments/records/6BQYMLV6VHEL?utm_source=link&utm_medium=certificate&utm_content=cert_image&utm_campaign=sharing_cta&utm_product=course" target="_blank">View</a> my certificate.</li>
            <table border="1">
              <tr><th>Information</th><th>Description</th></tr>
              <tr><td>Provider</td><td>University of California San Diego</td></tr>
              <tr><td>Teacher</td><td>Professor <a href="https://www.coursera.org/instructor/pavelpevzner">Pavel Pevzner</a><br> Visiting Researcher <a href="https://www.coursera.org/instructor/phillipcompeau">Phillip Compeau</a></td></tr>
              <tr><td>Contents</td><td>Motif logo, enumeration algorithm, greedy algorithm and randomized algorithm(Gibbs sampler)</td></tr>
              </table>
          <!--<li><a href="https://github.com/tyleransom/Julia">My Github repository</a>, which introduces basic econometric models in <a href="http://julialang.org/">Julia</a>.</li>
          <li><a href="https://github.com/tyleransom/EMalgorithmExample"><tt>EM algorithm example</tt></a>: Code to generate data and estimate simple versions of the EM algorithm for estimation of models with discrete type-specific unobserved heterogeneity.</li>
        -->
        </ul>
    <h3>Genome Data Science</h3>
        <ul>
          <li><a href="https://www.coursera.org/learn/statistical-genomics">Statistics for Genomic Data Science</a>: 
            In progress.</li>
          <li><a href="https://www.coursera.org/learn/bioconductor">Bioconductor for Genomic Data Science</a>: 
            In progress.</li>
          <!--<li><a href="http://www.mathworks.com/matlabcentral/fileexchange/47284-apply-restrictions"><tt>applyRestr.m</tt></a>: Allows for easy parameter restrictions in optimization problems (co-writen with <a href="http://bschool.pepperdine.edu/about/people/faculty/jared-ashworth/">Jared Ashworth</a>).</li>
        -->

        </ul>
    <h3>Machine Learning</h3>
        <ul>
          <li><a href="https://www.coursera.org/specializations/deep-learning">Deep Learning</a>: 
            In progress.</li>
        </ul>

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